Jag Baddam

Software Engineer

San Francisco, California, United States3 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in cloud technologies and backend optimization.
Proven track record in microservices and responsive design.
Strong focus on integrating AI-driven solutions.

Stackforce AI infers this person is a Full Stack Developer with expertise in cloud-based microservices and AI integration.

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Skills

Core Skills

Frontend DevelopmentMicroservicesFull Stack Development

Other Skills

AconexAgileAgile MethodologiesAmazon EC2Amazon ECSAngularAngularJSApache KafkaApplication DevelopmentArtificial Intelligence (AI)AxiosBootstrapC (Programming Language)C++CI/CD

About

University of Florida's Master's program in Computer Science has provided coursework in cloud computing, data science, and machine learning, complementing hands-on experience in software development. Academic focus includes advanced application of AI and scalable system design, fostering innovative problem-solving approaches. Amazon Music's development team benefits from expertise in cloud technologies and backend optimization. Previous experience at Deloitte and Superstars emphasized frontend development, microservices, and responsive design improvements. Motivated to integrate AI-driven solutions into real-world applications, aiming to enhance user engagement and system performance.

Experience

3 yrs 6 mos

Total Experience

1 yr 3 mos

Average Tenure

11 mos

Current Experience

Amazon music

Software Developer

Jul 2025 – Present · 11 mos · San Francisco, California, United States · On-site

Deloitte

Software Developer

Mar 2025 – Jul 2025 · 4 mos

Superstars

Software Developer Internship

Jan 2024 – Jul 2024 · 6 mos · Remote

● Frontend Development: Improved Angular app responsiveness by 20% through codebase optimization and design patterns.
● Microservices: Engineered backend microservices by crafting robust RESTful APIs using Spring JPA framework, following Test Driven Development achieved 90% JUnit test coverage, boosting system reliability.
● Database Optimization: Reduced loading times by 90% by optimizing database queries, enhancing backend processes.
● UI/UX Design: Led frontend development using Figma, improving UI design and boosting user engagement by 25%.
● Agile Collaboration: Participated in Agile ceremonies, facilitating continuous improvement and team alignment.

AngularRESTful APIsSpring JPAUI/UX DesignAgileFrontend Development+1

Oracle

Full Stack Developer

Jun 2020 – Jul 2022 · 2 yrs 1 mo · Hyderabad Area, India

● Spring Boot API Development: Developed Spring Boot APIs for card payment authorization, managing on-us transactions and routing others to major networks, while enhancing security with Spring Security.
● Feature Redesign: Redesigned five client-requested features, leading to a 25% improvement in data transfer.
● API Optimization: Optimized Web API calls, improving page load speed by 30% and increasing page hits by 10%.
● CI/CD Implementation: Led cross-functional Agile teams in implementing CI/CD pipelines (Jenkins, Git) throughout the Software Development Life Cycle (SDLC) to enhance collaboration and improve deployment efficiency.
● Microservices Transformation: Converted monolithic servers into seven cloud-deployable microservices with Java Spring Boot and Apache Kafka, achieving a 50% reduction in server response time.
● Database Migration: Designed a hybrid database migration solution with Apache Kafka and Amazon S3, leveraging Java microservices to reduce migration time from three days to half a day.
● Service Discovery and Load Balancing: Implemented service discovery and load balancing with Java Spring Cloud, resulting in a 20% performance improvement.
● Zero Downtime Upgrade: Enhanced service availability through a Zero Downtime Upgrade process using Kubernetes and Cloud volumes, reducing maintenance downtime by 80%.
● Real-time Log Analysis: Improved real-time log analysis by integrating Apache Kafka with the ELK stack, enabling faster problem detection and resolution.
● GPU Monitoring: Devised a Grafana based monitoring system utilizing Nvidia’s DCGM exporter to collect time-series GPU data and transfer it into Prometheus and controlled interactions with NVIDIA GTX 1080 Ti and CUDA drivers.
● Improved cache management by 10x, reducing average response time from 100ms to 10ms, significantly enhancing agility of end-to-end application performance and responsiveness(caching).